The objective of an online Mart is to match buyers and sellers, to weigh animals and to oversee their sale. A reliable pricing method can be developed by ML models that can read through historical sales data. However, when AI models suggest or recommend a price, that in itself does not reveal too much (i.e., it acts like a black box) about the qualities and the abilities of an animal. An interested buyer would like to know more about the salient features of an animal before making the right choice based on his requirements. A model capable of explaining the different factors that impact the price point is essential for the needs of the market. It can also inspire confidence in buyers and sellers about the price point offered. To achieve these objectives, we have been working with the team at MartEye, a startup based in Portershed in Galway City, Ireland. Through this paper, we report our work-in-progress research towards building a smart video analytic platform, leveraging Explainable AI techniques.

中文翻译：

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致力于设计基于计算机视觉的可解释AI解决方案：家畜市场的使用案例

在线集市的目的是使买卖双方相称，称重动物并监督其销售。可以读取历史销售数据的ML模型可以开发出可靠的定价方法。但是，当AI模型建议或建议价格时，它本身并不会过多地揭示动物的质量和能力（即，就像黑盒子一样）。有兴趣的买家希望在根据自己的要求做出正确选择之前，先了解更多有关动物的显着特征。能够解释影响价格点的不同因素的模型对于市场需求至关重要。它还可以激发买卖双方对所提供价格点的信心。为了实现这些目标，我们一直与MartEye的团队合作，该公司是一家位于戈尔韦市Portershed的初创公司，爱尔兰。通过本文，我们报告了我们在进行中的工作，以利用可解释的AI技术构建智能视频分析平台。